HS 4th Semester Education Suggestion 2026:
āĻāĻā§āĻāĻŽāĻžāϧā§āϝāĻŽāĻŋāĻ āĻāϤā§āϰā§āĻĨ āϏā§āĻŽāĻŋāϏā§āĻāĻžāϰ āĻļāĻŋāĻā§āώāĻžāĻŦāĻŋāĻā§āĻāĻžāύ āϏāĻžāĻā§āĻļāύ! Â
Published on:Â February 9, 2026
⧍ā§Ļ⧍ā§Ŧ āϏāĻžāϞ⧠āĻĒāĻļā§āĻāĻŋāĻŽāĻŦāĻā§āĻ āĻāĻā§āĻāĻŽāĻžāϧā§āϝāĻŽāĻŋāĻ āĻļāĻŋāĻā§āώāĻž āϏāĻāϏāĻĻā§āϰ (WBCHSE) āĻ
āϧā§āύ⧠āϝ⧠āϏāĻāϞ āĻāĻžāϤā§āϰ-āĻāĻžāϤā§āϰā§āϰāĻž āĻāĻā§āĻāĻŽāĻžāϧā§āϝāĻŽāĻŋāĻ āĻāϤā§āϰā§āĻĨ āϏā§āĻŽāĻŋāϏā§āĻāĻžāϰā§āϰ āĻĒāϰā§āĻā§āώāĻž āĻĻā§āĻŦā§Â āĻļāĻŋāĻā§āώāĻžāĻŦāĻŋāĻā§āĻāĻžāύ āĻŦāĻŋāώāϝāĻŧā§āϰ āϞāĻžāϏā§āĻ āĻŽāĻŋāύāĻŋāĻ āϏāĻžāĻā§āĻļāύ āĻĒā§āϰāϏā§āϤā§āϤ āĻāϰāĻž āĻšāϝāĻŧā§āĻā§āĨ¤ āϏāĻ āĻŋāĻāĻāĻžāĻŦā§ āĻĒā§āϰāϏā§āϤā§āϤāĻŋ āύā§āĻā§āĻžāĻ°Â Â āĻāύā§āϝ āĻā§āϰā§āϤā§āĻŦāĻĒā§āϰā§āĻŖ āĻāĻĒāĻŋāĻ āĻā§āϞāĻŋāϰ āϏāĻžāĻā§āĻļāĻ¨Â āĻĻā§āĻāϝāĻŧāĻž āĻšāϞā§āĨ¤
HS Class 12 4th Semester Education Suggestion 2026
āĻŦāĻŋāώāϝāĻŧ  (Subject)
āĻļāĻŋāĻā§āώāĻžāĻŦāĻŋāĻā§āĻāĻžāύ  (Education)
āĻĒāϰā§āĻā§āώāĻžāϰ  āϤāĻžāϰāĻŋāĻ
 (Exam Date)
ā§§ā§āĻ āĻĢā§āĻŦā§āϰā§āϝāĻŧāĻžāϰāĻŋ, ⧍ā§Ļ⧍ā§Ŧ (āĻŽāĻā§āĻāϞāĻŦāĻžāϰ) Â
17th February, 2026 (Tuesday)
 āϏāĻŽā§āĻĒā§āϰā§āĻŖ āĻĒāϰā§āĻā§āώāĻžāϰ āϏāĻŋāϞā§āĻŦāĻžāϏ āĻ
āύā§āϝāĻžāϝāĻŧā§ āĻĒā§āϰāϤā§āϝā§āĻāĻāĻŋ āĻāĻĒāĻŋāĻ āĻĨā§āĻā§ Â ā§¨ āύāĻŽā§āĻŦāϰ, ā§Ģ āύāĻŽā§āĻŦāϰ āĻāĻŦāĻ ā§§ā§Ļ āύāĻŽā§āĻŦāϰ āĻĒā§āϰāĻļā§āύā§āϰ āĻāύā§āϝ āĻā§āϰā§āϤā§āĻŦāĻĒā§āϰā§āĻŖ/āϏāĻžāĻā§āϏā§āĻāĻŋāĻ āĻĒā§āϰāĻļā§āύāĻā§āϞāĻŋ āĻļā§āϝāĻŧāĻžāϰ āĻāϰāĻž āĻšāϞā§āĨ¤Â Â
1  āĻāĻā§āĻāĻŽāĻžāϧā§āϝāĻŽāĻŋāĻ āĻāϤā§āϰā§āĻĨ āϏā§āĻŽāĻŋāϏā§āĻāĻžāϰ āĻļāĻŋāĻā§āώāĻžāĻŦāĻŋāĻā§āĻāĻžāύ āĻĒā§āϰāĻļā§āύ āĻāĻžāĻ āĻžāĻŽā§ 2026 (HS 4th Sem Education Question Pattern 2026)
2  HS 4th Semester Education Suggestion: āĻāĻā§āĻāĻŽāĻžāϧā§āϝāĻŽāĻŋāĻ āĻāϤā§āϰā§āĻĨ āϏā§āĻŽāĻŋāϏā§āĻāĻžāϰ āĻļāĻŋāĻā§āώāĻžāĻŦāĻŋāĻā§āĻāĻžāύ āϏāĻžāĻā§āĻļāύ
Â
āĻāĻā§āĻāĻŽāĻžāϧā§āϝāĻŽāĻŋāĻ āĻāϤā§āϰā§āĻĨ āϏā§āĻŽāĻŋāϏā§āĻāĻžāĻ°Â āĻļāĻŋāĻā§āώāĻžāĻŦāĻŋāĻā§āĻāĻžāĻ¨Â āĻĒā§āϰāĻļā§āύ āĻāĻžāĻ āĻžāĻŽā§ 2026
(HS 4th Sem Education  Question Pattern 2026)
āĻĒāϰā§āĻā§āώāĻž āĻĻā§āĻāϝāĻŧāĻžāϰ āĻĒā§āϰā§āĻŦā§ āĻ
āĻŦāĻļā§āϝāĻ āϏā§āĻ āĻŦāĻŋāώāϝāĻŧā§āϰ āϏāĻŽā§āĻĒā§āϰā§āĻŖ āϏāĻŋāϞā§āĻŦāĻžāϏ āĻ āĻĒā§āϰāĻļā§āύ āĻāĻžāĻ āĻžāĻŽā§ āϏāĻŽā§āĻĒāϰā§āĻā§ āϏā§āĻŦāĻā§āĻāϞ āϧāĻžāϰāĻŖāĻž āĻĨāĻžāĻāĻž āĻĒā§āϰāϝāĻŧā§āĻāύ āϤāĻžāĻ āύāĻŋāĻā§Â āĻāĻā§āĻāĻŽāĻžāϧā§āϝāĻŽāĻŋāĻ āĻāϤā§āϰā§āĻĨ āϏā§āĻŽāĻŋāϏā§āĻāĻžāϰ āĻāĻĄā§āĻā§āĻļāύ āĻŦāĻŋāώāϝāĻŧā§āϰ āύāĻžāĻŽā§āĻŦāĻžāϰ āĻŦāĻŋāĻāĻžāĻāĻ¨Â āύāĻŋāĻā§āϰ āĻāĻā§ āĻĻā§āĻāϝāĻŧāĻž āĻšāϞ-
Topic
Short Answer
(2 Marks)
Short Answer
(5 Marks)
Descriptive
(10 Marks)
Total
āĻļāĻŋāĻāύ āĻāĻŦāĻ āĻļāĻŋāĻāύ āĻā§āĻļāϞ
1Ã2 = 2
â
1Ã10 = 10
12
āĻŽāĻžāύāϏāĻŋāĻ āϏā§āĻŦāĻžāϏā§āĻĨā§āϝ āĻ āϏā§āϏā§āĻĨāϤāĻž
1Ã2 = 2
1Ã5 = 5
â
7
āĻļāĻŋāĻā§āώāĻžāĻŽā§āϞāĻ āĻĒā§āϰāϝā§āĻā§āϤāĻŋ
1Ã2 = 2
1Ã5 = 5
â
7
āĻļāĻŋāĻā§āώāĻžāϝāĻŧ āϰāĻžāĻļāĻŋāĻŦāĻŋāĻā§āĻāĻžāύ
2Ã2 = 4
â
1Ã10 = 10
14
āĻŽā§āĻ
10
10
20
40
Â
HS 4th Semester Education Suggestion:
āĻāĻā§āĻāĻŽāĻžāϧā§āϝāĻŽāĻŋāĻ āĻāϤā§āϰā§āĻĨ āϏā§āĻŽāĻŋāϏā§āĻāĻžāϰ āĻļāĻŋāĻā§āώāĻžāĻŦāĻŋāĻā§āĻāĻžāύ āϏāĻžāĻā§āĻļāύ
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 āĻāĻāĻĻāĻŽ āϏāĻŽā§āĻĒā§āϰā§āĻŖ āϏāĻŋāϞā§āĻŦāĻžāϏ āĻāϰ āϏāĻžāĻā§āĻļāύ āĻāĻāĻā§ āĻāĻāĻžāϰ āĻāϰāĻāĻŋāĨ¤ āύāĻŋāĻā§ āĻ
āϧā§āϝāĻžāϝāĻŧ āĻāĻŋāϤā§āϤāĻŋāĻ āĻŦāĻž āĻāĻĒāĻŋāĻ āĻāĻŋāϤā§āϤāĻŋāĻ āϏāĻŽāϏā§āϤ āϏāĻžāĻā§āϏāĻāĻŋāĻ āĻĒā§āϰāĻļā§āύāĻā§āϞ⧠āϤā§āϞ⧠āϧāϰāĻž āĻšāϞā§Â āĻā§āĻŦāϞ āϏāĻžāĻā§āĻļāύā§āϰ āĻāĻĒāϰ āύāĻŋāϰā§āĻāϰ āύāĻž āĻāϰā§, āĻĒā§āϰāϤāĻŋāĻāĻŋ āĻŦāĻŋāώāϝāĻŧā§āϰ āĻŽā§āϞ āĻāĻžāĻŦ āĻ āĻāύāϏā§āĻĒā§āĻ āĻĒāϰāĻŋāώā§āĻāĻžāϰ āϰāĻžāĻāĻž āĻāϰā§āϰāĻŋāĨ¤ āϝ⧠āĻĒā§āϰāĻļā§āύāĻā§āϞ⧠āĻāĻāĻžāύ⧠āĻĻā§āĻāϝāĻŧāĻž āĻšāĻā§āĻā§ āϏā§āĻā§āϞāĻŋ āĻ
āĻŦāĻļā§āϝāĻ āĻā§āϰā§āϤā§āĻŦā§āϰ āϏāĻžāĻĨā§ āϤā§āϰāĻŋ āĻāϰāϤ⧠āĻšāĻŦā§ āϝāĻžāϤ⧠āϝā§āĻā§āύ⧠āĻĒāϰāĻŋāϏā§āĻĨāĻŋāϤāĻŋāϤā§āĻ āϤā§āĻŽāĻžāĻĻā§āϰ āĻāϞāĻŽ āĻĨā§āĻŽā§ āύāĻž āĻĨāĻžāĻā§āĨ¤
āĻ
āϧā§āϝāĻžāϝāĻŧ: āĻļāĻŋāĻāĻ¨Â āĻ āĻļāĻŋāĻāύ āĻā§āĻļāϞ
āĻĒā§āϰāϤāĻŋāĻāĻŋ āĻĒā§āϰāĻļā§āύā§āϰ āĻŽāĻžāύ: ⧍ (āϏāĻāĻā§āώāĻŋāĻĒā§āϤ āĻĒā§āϰāĻļā§āύ)
āĻļāĻŋāĻāύā§āϰ āϏāĻžāĻĨā§ āĻĒāϰāĻŋāĻŖāĻŽāύā§āϰ āĻĻā§āĻāĻŋ āĻĒāĻžāϰā§āĻĨāĻā§āϝ āϞā§āĻā§āĨ¤ â¯â¯â¯
āĻĒāϰāĻŋāĻŖāĻŽāύā§āϰ (Maturation) āϏāĻāĻā§āĻāĻž āĻĻāĻžāĻāĨ¤ â¯â¯
āĻļāĻŋāĻāύ āĻāĻžāĻā§ āĻŦāϞā§?â¯â¯
āĻŽāύā§āϝā§āĻā§āϰ āĻĻā§āĻāĻŋ āĻŦā§āϝāĻā§āϤāĻŋāĻāϤ āύāĻŋāϰā§āϧāĻžāϰāĻ āĻ āĻŦāϏā§āϤā§āĻāϤ āύāĻŋāϰā§āϧāĻžāϰāĻ āϞā§āĻāĨ¤ â¯â¯â¯
āĻāĻā§āϰāĻš (Interest) āĻāĻžāĻā§ āĻŦāϞā§? â¯â¯
āĻĒā§āϰā§āώāĻŖāĻž āĻāĻžāĻā§ āĻŦāϞā§? â¯â¯
āĻŦāĻŋāϏā§āĻŽāϰāĻŖ (Forgetting) āĻāĻžāĻā§ āĻŦāϞā§? â¯â¯
āĻĒā§āύāϰā§āĻĻā§āϰā§āĻ (Recall) āĻāĻžāĻā§ āĻŦāϞā§?
āĻĒā§āϰāĻžāĻā§āύ āĻ
āύā§āĻŦāϰā§āϤāύ (Pavlov) āĻ āĻ
āĻĒāĻžāϰā§āύā§āĻ āĻ
āύā§āĻŦāϰā§āϤāύā§āϰ (Skinner) āĻĻā§āĻāĻŋ āĻĒāĻžāϰā§āĻĨāĻā§āϝ āϞā§āĻā§āĨ¤ â¯â¯â¯
âSâ-Type āĻ âRâ-Type āĻāĻāϰāĻŖ āĻŦāϞāϤ⧠āĻāĻŋ āĻŦā§āĻ? â¯â¯â¯
āĻ
āĻĒāĻžāύā§āĻŦāϰā§āϤāύ (Extinction) āĻāĻžāĻā§ āĻŦāϞā§? â¯â¯
āϏā§āĻāĻŋāύāĻžāϰ āĻŦāĻā§āϏ (Skinner Box) āĻā§? â¯â¯
âāϏāĻā§āϰāĻŋāϝāĻŧ āĻ
āύā§āĻŦāϰā§āϤāύâ āĻŦāĻž Operant Conditioning āĻāĻžāĻā§ āĻŦāϞā§? â¯â¯â¯
āϏā§āĻŦāϤāĻāϏā§āĻĢā§āϰā§āϤ āĻĒā§āύāϰā§āĻĻā§āϧāĻžāϰ (Spontaneous Recovery) āĻāĻžāĻā§ āĻŦāϞā§? â¯â¯
āĻĨāϰā§āύāĻĄāĻžāĻāĻā§āϰ āĻļāĻŋāĻāύā§āϰ āĻĒā§āϰāϧāĻžāύ āϤāĻŋāύāĻāĻŋ āϏā§āϤā§āϰ āĻā§ āĻā§? â¯â¯â¯
āĻĒāĻžāĻāϞ āĻŦāĻā§āϏ (Puzzle Box) āĻā§? â¯â¯
āϏāĻāϝā§āĻāύāĻŦāĻžāĻĻ (Connectionism) āĻāĻžāĻā§ āĻŦāϞā§?
âāĻā§āϏā§āĻāĻžāϞā§āĻâ (Gestalt) āĻļāĻŦā§āĻĻāĻāĻŋāϰ āĻ
āϰā§āĻĨ āĻāĻŋ?
āĻ
āϰā§āύā§āϤāĻĻā§āώā§āĻāĻŋāĻŽā§āϞāĻ āĻļāĻŋāĻāύ (Insight Learning) āĻŦāϞāϤ⧠āĻā§ āĻŦā§āĻā§?
āĻā§āύ āĻ
āĻŦ āĻĒā§āϰāĻā§āϏāĻŋāĻŽāĻžāϞ āĻĄā§āĻā§āϞāĻĒāĻŽā§āύā§āĻ (ZPD) āĻŦāĻž āύā§āĻāĻā§āϝ āĻŦāĻŋāĻāĻžāĻļā§āϰ āϏā§āĻŽāĻž āĻā§?
āϏā§āĻā§āϝāĻžāĻĢā§āϞā§āĻĄāĻŋāĻ (Scaffolding) āĻŦāĻž āĻāĻžāĻĄāĻŧāĻž āĻŦāύā§āϧāύ āĻā§?
āϏāĻžāϧāĻžāϰāĻŖ āĻŽāĻžāύāϏāĻŋāĻ āĻā§āώāĻŽāϤāĻž (âGâ factor) āĻ āĻŦāĻŋāĻļā§āώ āĻŽāĻžāύāϏāĻŋāĻ āĻā§āώāĻŽāϤāĻžāϰ (âSâ factor) āĻĻā§āĻāĻŋ āĻĒāĻžāϰā§āĻĨāĻā§āϝ āĻŦāĻž āĻŦā§āĻļāĻŋāώā§āĻā§āϝ āϞā§āĻā§āĨ¤ â¯â¯â¯
āĻŦā§āĻĻā§āϧā§āϝāĻā§āĻ āĻŦāĻž IQ āĻŦāϞāϤ⧠āĻā§ āĻŦā§āĻāĻžāϝāĻŧ? â¯â¯
āĻšā§āĻŦ-āĻāϰ āĻŽāϤ⧠âAâ āĻŦā§āĻĻā§āϧāĻŋ āĻ âBâ āĻŦā§āĻĻā§āϧāĻŋ āĻŦāϞāϤ⧠āĻāĻŋ āĻŦā§āĻ?
āϏā§āĻĒāĻŋāϝāĻŧāĻžāϰāĻŽā§āϝāĻžāύā§āϰ āĻĻā§āĻŦāĻŋ-āĻāĻĒāĻžāĻĻāĻžāύ āĻ āĻĨāĻžāϰā§āϏā§āĻā§āύā§āϰ āĻĻāϞāĻāϤ āĻāĻĒāĻžāĻĻāĻžāύ āϤāϤā§āϤā§āĻŦā§āϰ āĻĻā§āĻāĻŋ āĻĒāĻžāϰā§āĻĨāĻā§āϝ āϞā§āĻā§āĨ¤ â¯â¯â¯
āĻ
āĻāĻŋāϏāĻžāϰ⧠āĻāĻŋāύā§āϤāĻž (Convergent) āĻ āĻ
āĻĒāϏāĻžāϰ⧠āĻāĻŋāύā§āϤāĻž (Divergent) āĻŦāϞāϤ⧠āĻāĻŋ āĻŦā§āĻ?
āĻŦā§āϰā§āύāϏā§āĻā§āϰāĻŽāĻŋāĻ (Brainstorming) āĻā§? â¯â¯
āϏā§āĻāύāĻļā§āϞāϤāĻžāϰ āĻāĻāĻāĻŋ āϏāĻāĻā§āĻāĻž āĻĻāĻžāĻāĨ¤
āĻŦāĻŋāĻļā§āϞā§āώāĻŖāϧāϰā§āĻŽā§ āĻĒā§āϰāĻļā§āĻ¨Â ( āĻŽāĻžāύ: ā§§ā§Ļ āĻāϰ āĻĒā§āϰāĻļā§āύāĻžāĻŦāϞāĻŋ )
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āϏāĻŽāĻžāύā§āĻā§āϤāĻŋ (Empathy) āĻāĻžāĻā§ āĻŦāϞā§?
Obsessive Compulsive Disorder (OCD) āĻŦāϞāϤ⧠āĻā§ āĻŦā§āĻ?
āĻĢā§āĻŦāĻŋāĻ āĻĄāĻŋāϏāĻ
āϰā§āĻĄāĻžāϰ (Phobic Disorder) āĻāĻžāĻā§ āĻŦāϞā§?
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āĻļāĻŋāĻā§āώāĻž āĻĒā§āϰāϝā§āĻā§āϤāĻŋāĻŦāĻŋāĻā§āĻāĻžāύ āĻāĻžāĻā§ āĻŦāϞā§?
āĻļāĻŋāĻā§āώāĻž āĻĒā§āϰāϝā§āĻā§āϤāĻŋāĻŦāĻŋāĻā§āĻāĻžāύā§āϰ āĻĻā§āĻāĻŋ āĻŦā§āĻļāĻŋāώā§āĻā§āϝ āϞā§āĻā§āĨ¤
āϏāĻžāĻāĻŦāĻžāϰāύā§āĻāĻŋāĻā§āϏ (Cybernetics) āĻā§?
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ā§āϝāĻžāĻĒā§āϰā§āĻ (System Approach) āĻŦāϞāϤ⧠āĻāĻŋ āĻŦā§āĻāĻžāϝāĻŧ?
āĻļāĻŋāĻā§āώāĻžāϝāĻŧ āϏāĻĢāĻāĻāϝāĻŧā§āϝāĻžāϰ āĻ āĻšāĻžāϰā§āĻĄāĻāϝāĻŧā§āϝāĻžāϰā§āϰ āĻĻā§āĻāĻŋ āĻĒāĻžāϰā§āĻĨāĻā§āϝ āϞā§āĻā§āĨ¤
āϏāĻĢāĻāĻāϝāĻŧā§āϝāĻžāϰ āĻ āĻšāĻžāϰā§āĻĄāĻāϝāĻŧā§āϝāĻžāϰ āĻŦāϞāϤ⧠āĻāĻŋ āĻŦā§āĻ?
âāĻļāĻŋāĻā§āώāĻžāϝāĻŧ Computerâ āĻāϰ āĻĻā§āĻāĻŋ āĻŦā§āϝāĻŦāĻšāĻžāϰ āϞā§āĻāĨ¤ (āĻŦāĻž CAL āĻ CAI āĻā§?)
āĻļāĻŋāĻā§āώāĻžāϝāĻŧ āĻāĻāĻžāϰāĻšā§āĻĄ āĻĒā§āϰā§āĻā§āĻā§āĻāϰ (OHP) āĻŦā§āϝāĻŦāĻšāĻžāϰā§āϰ āĻĻā§āĻāĻŋ āϏā§āĻŦāĻŋāϧāĻž āϞā§āĻā§āĨ¤
ICT āĻļāĻŋāĻā§āώāĻž āĻā§āώā§āϤā§āϰ⧠āĻā§āύ āĻā§āϰā§āϤā§āĻŦāĻĒā§āϰā§āĻŖ?
āĻ-āϞāĻžāϰā§āύāĻŋāĻ (e-learning) āĻā§?
ICT āĻāϰ āϏāĻŽā§āĻĒā§āϰā§āĻŖ āύāĻžāĻŽ āĻā§? (Information and Communication Technology)
āĻāĻžāϰā§āĻā§āϝāĻŧāĻžāϞ āĻā§āϞāĻžāϏāϰā§āĻŽ (Virtual Classroom) āĻā§?
NCERT āĻāĻŦāĻ CIET āĻāϰ āĻĒā§āϰ⧠āĻāĻĨāĻž āϞā§āĻā§āĨ¤
ITAA āĻāϰ āϏāĻŽā§āĻĒā§āϰā§āĻŖ āύāĻžāĻŽ āĻāĻŋ?
RMSA āĻāϰ āϏāĻŽā§āĻĒā§āϰā§āĻŖ āύāĻžāĻŽ āĻā§?
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āϏā§āĻŦāĻŋāϧāĻžāĻā§āϞāĻŋ āĻāϞā§āĻāύāĻž āĻāϰā§āĨ¤
āĻļāĻŋāĻā§āώāĻž āĻā§āώā§āϤā§āϰ⧠āϤāĻĨā§āϝ āĻ āϝā§āĻāĻžāϝā§āĻ āĻĒā§āϰāϝā§āĻā§āϤāĻŋāϰ (ICT) āĻā§āĻŽāĻŋāĻāĻž āĻŦāĻž āĻā§āϰā§āϤā§āĻŦ āĻāϞā§āĻāύāĻž āĻāϰā§āĨ¤
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ā§āϝāĻžāĻĒā§āϰā§āĻâ (System Approach) āĻŦāϞāϤ⧠āĻā§ āĻŦā§āĻā§? āĻāϰ āĻŦā§āĻļāĻŋāώā§āĻā§āϝ āϞā§āĻā§āĨ¤
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āĻĒā§āϰāϤāĻŋāĻāĻŋ āĻĒā§āϰāĻļā§āύā§āϰ āĻŽāĻžāύ: ⧍ (āϏāĻāĻā§āώāĻŋāĻĒā§āϤ āĻĒā§āϰāĻļā§āύ)
āϰāĻžāĻļāĻŋāĻŦāĻŋāĻā§āĻāĻžāύ (Statistics) āĻāĻžāĻā§ āĻŦāϞā§?
āĻļāĻŋāĻā§āώāĻžāĻŽā§āϞāĻ āϰāĻžāĻļāĻŋāĻŦāĻŋāĻā§āĻāĻžāύ āĻā§?
āϤāĻĨā§āϝ āĻŦāĻž Data āĻā§? āĻāĻāĻŋ āĻāϤ āĻĒā§āϰāĻāĻžāϰ?
āĻŦāĻŋāύā§āϝāϏā§āϤ āĻ āĻ
āĻŦāĻŋāύā§āϝāϏā§āϤ āϏā§āĻā§āϰā§āϰ āĻŽāϧā§āϝ⧠āĻĒāĻžāϰā§āĻĨāĻā§āϝ āĻā§?
āĻā§āϝāĻžāϞāĻŋ (Tally) āĻāĻŋāĻšā§āύ āĻā§āύ āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻāϰāĻž āĻšāϝāĻŧ?
āĻšāĻŋāϏā§āĻā§āĻā§āϰāĻžāĻŽ (Histogram) āĻŦāĻž āĻāϝāĻŧāϤāϞā§āĻ āĻā§?
āĻĒāϰāĻŋāϏāĻāĻā§āϝāĻž āĻŦāĻšā§āĻā§āĻ (Frequency Polygon) āĻā§?
āĻšāĻŋāϏā§āĻā§āĻā§āϰāĻžāĻŽ āĻ āĻĒāϰāĻŋāϏāĻāĻā§āϝāĻž āĻŦāĻšā§āĻā§āĻā§āϰ āĻŽāϧā§āϝ⧠āĻĻā§āĻāĻŋ āĻĒāĻžāϰā§āĻĨāĻā§āϝ āϞā§āĻā§āĨ¤
āĻā§āύā§āĻĻā§āϰā§āϝāĻŧ āĻĒā§āϰāĻŦāĻŖāϤāĻž (Central Tendency) āĻāĻžāĻā§ āĻŦāϞā§? āĻāϰ āĻĒāϰāĻŋāĻŽāĻžāĻĒāĻā§āϞāĻŋ āĻā§ āĻā§?
āĻāĻĄāĻŧ (Mean), āĻŽāϧā§āϝāĻŽāĻŽāĻžāύ (Median) āĻ āĻā§āώāĻŋāώā§āĻ āĻ (Mode) â āĻāĻĻā§āϰ āϏāĻāĻā§āĻāĻž āĻĻāĻžāĻāĨ¤
āĻŽāϧā§āϝāĻŽāĻŽāĻžāύ (Median) āĻŦāĻž āĻŽā§āĻĄ (Mode)-āĻāϰ āĻāĻāĻāĻŋ āĻāϰ⧠āϏā§āĻŦāĻŋāϧāĻž āĻ āĻ
āϏā§āĻŦāĻŋāϧāĻž āϞā§āĻā§āĨ¤
āĻāĻĻāϰā§āĻļ āĻā§āϝā§āϤāĻŋ āĻŦāĻž āϏāĻŽā§āϝāĻ āĻŦāĻŋāĻā§āϝā§āϤāĻŋ (Standard Deviation) āĻāĻžāĻā§ āĻŦāϞā§?
āϏāĻšāĻāϤāĻŋ (Correlation) āĻāĻžāĻā§ āĻŦāϞā§? āϧāύāĻžāϤā§āĻŽāĻ āϏāĻšāĻāϤāĻŋāϰ āĻāĻāĻāĻŋ āĻāĻĻāĻžāĻšāϰāĻŖ āĻĻāĻžāĻāĨ¤
āϰâā§āϝāĻžāĻā§āĻ āĻĒāĻžāϰā§āĻĨāĻā§āϝ āĻĒāĻĻā§āϧāϤāĻŋ (Rank Difference Method)-āϰ āĻĻā§āĻāĻŋ āϏā§āĻŦāĻŋāϧāĻž āϞā§āĻā§āĨ¤
āĻŦāĻŋāĻļā§āϞā§āώāĻŖāϧāϰā§āĻŽā§ āĻĒā§āϰāĻļā§āĻ¨Â ( āĻŽāĻžāύ: ā§§ā§Ļ āĻāϰ āĻĒā§āϰāĻļā§āύāĻžāĻŦāϞāĻŋ )
A. Statistics in Education:Â Concept, Applications and Statistics Methods (Data, Frequency Distribution, Graphical Representations â Polygon & Histogram)
āĻļāĻŋāĻā§āώāĻžāĻā§āώā§āϤā§āϰ⧠āĻĒāϰāĻŋāϏāĻāĻā§āϝāĻžāύ āĻŦāĻž āϰāĻžāĻļāĻŋāĻŦāĻŋāĻā§āĻāĻžāύ āĻā§? āĻļāĻŋāĻā§āώāĻžāĻā§āώā§āϤā§āϰ⧠āϰāĻžāĻļāĻŋāĻŦāĻŋāĻā§āĻāĻžāύā§āϰ āĻā§āϰā§āϤā§āĻŦ āĻŦāĻž āĻāĻĒāϝā§āĻāĻŋāϤāĻž āĻŦāĻŋāĻļāĻĻāĻāĻžāĻŦā§ āĻāϞā§āĻāύāĻž āĻāϰā§āĨ¤ (ā§Ē+ā§Ŧ)
āĻļāĻŋāĻā§āώāĻžāϝāĻŧ āĻĒāϰāĻŋāϏāĻāĻā§āϝāĻžāύā§āϰ āĻŦā§āϝāĻŦāĻšāĻžāϰāĻŋāĻ āĻĒā§āϰāϝāĻŧā§āĻāĻā§āϞāĻŋ āĻāϞā§āĻāύāĻž āĻāϰā§āĨ¤
āĻšāĻŋāϏā§āĻā§āĻā§āϰāĻžāĻŽ (Histogram) āĻ āĻĢā§āϰāĻŋāĻā§āϝāĻŧā§āύā§āϏāĻŋ āĻĒāϞāĻŋāĻāύ (Frequency Polygon)-āĻāϰ āĻŽāϧā§āϝ⧠āĻĒāĻžāϰā§āĻĨāĻā§āϝ āĻŦā§āϝāĻžāĻā§āϝāĻž āĻāϰā§āĨ¤ (ā§Ģ+ā§Ģ)
āĻĒāϰāĻŋāϏāĻāĻā§āϝāĻžāύāĻŋāĻ āĻāĻŋāϤā§āϰ āĻāĻĒāϏā§āĻĨāĻžāĻĒāύāĻžāϰ āĻŦāĻŋāĻāĻŋāύā§āύ āĻĒāĻĻā§āϧāϤāĻŋāĻā§āϞāĻŋ āĻā§ āĻā§? āĻļāĻŋāĻā§āώāĻžāĻā§āώā§āϤā§āϰ⧠āĻāĻĻā§āϰ āĻā§āϰā§āϤā§āĻŦ āĻŦāĻž āϏā§āĻŦāĻŋāϧāĻžāĻā§āϞāĻŋ āϞā§āĻā§āĨ¤
āĻĢā§āϰāĻŋāĻā§āϝāĻŧā§āύā§āϏāĻŋ āĻĄāĻŋāϏā§āĻā§āϰāĻŋāĻŦāĻŋāĻāĻļāύ (Frequency Distribution) āĻŦāĻž āĻĒāϰāĻŋāϏāĻāĻā§āϝāĻž āĻŦāĻŋāĻāĻžāĻāύ āϏāĻžāϰāĻŖāĻŋ āĻā§āĻāĻžāĻŦā§ āĻāĻ āύ āĻāϰāĻž āĻšāϝāĻŧ? āĻāĻĻāĻžāĻšāϰāĻŖāϏāĻš āĻāϞā§āĻāύāĻž āĻāϰā§āĨ¤ (ā§Ŧ+ā§Ē)
B. Measures of Central Tendency and Standard Deviation (Concept, Application and Methods of Calculation)
āĻā§āύā§āĻĻā§āϰā§āϝāĻŧ āĻĒā§āϰāĻŦāĻŖāϤāĻž (Central Tendency) āĻŦāϞāϤ⧠āĻā§ āĻŦā§āĻā§? āĻāϰ āĻĒā§āϰāĻāĻžāϰāĻā§āĻĻāĻā§āϞāĻŋ (Mean, Median, Mode) āĻāϞā§āĻāύāĻž āĻāϰā§āĨ¤
āĻļāĻŋāĻā§āώāĻžāĻā§āώā§āϤā§āϰ⧠āĻāĻĄāĻŧ (Mean) āĻāĻŦāĻ āĻŽāϧā§āϝāĻŽāĻŽāĻžāύā§āϰ (Median) āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻŦāĻž āĻā§āϰā§āϤā§āĻŦ āϞā§āĻā§āĨ¤
Mean, Median āĻāĻŦāĻ Mode-āĻāϰ āĻŽāϧā§āϝ⧠āϏāĻŽā§āĻĒāϰā§āĻ āĻāϞā§āĻāύāĻž āĻāϰā§āĨ¤
āϏāĻŽā§āϝāĻ āĻŦāĻŋāĻā§āϝā§āϤāĻŋ āĻŦāĻž āĻāĻĻāϰā§āĻļ āĻŦāĻŋāĻā§āϝā§āϤāĻŋ (Standard Deviation) āĻāĻžāĻā§ āĻŦāϞā§? āĻļāĻŋāĻā§āώāĻžāĻā§āώā§āϤā§āϰ⧠āĻāϰ āĻā§āϰā§āϤā§āĻŦ āĻŦāĻž āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻāϞā§āĻāύāĻž āĻāϰā§āĨ¤
C) Correlation:Â Concept, Types and Methods of Computing Correlation Co-efficient (Product Moment and Rank Difference)
āϏāĻš āϏāĻŽā§āĻĒāϰā§āĻ (Correlation) āĻā§? āĻāϰ āĻ
āϰā§āĻĨ āĻ āĻĒā§āϰāϝāĻŧā§āĻāύā§āϝāĻŧāϤāĻž āĻāϞā§āĻāύāĻž āĻāϰā§āĨ¤ (4+4+2 = 10)
āϏāĻšāϏāĻŽā§āĻĒāϰā§āĻā§āϰ āĻĒā§āϰāĻāĻžāϰāĻā§āĻĻ (Type of Correlation) āĻŦā§āϝāĻžāĻā§āϝāĻž āĻāϰā§āĨ¤ (10)
āĻĒā§āϰā§āĻĄāĻžāĻā§āĻ āĻŽā§āĻŽā§āύā§āĻ āĻ āϰâā§āϝāĻžāĻā§āĻ āĻĄāĻŋāĻĢāĻžāϰā§āύā§āϏ āĻĒāĻĻā§āϧāϤāĻŋāϰ āĻŽāϧā§āϝ⧠āĻĒāĻžāϰā§āĻĨāĻā§āϝ āĻāϞā§āĻāύāĻž āĻāϰā§āĨ¤ (5+5)
āĻļāĻŋāĻā§āώāĻžāĻā§āώā§āϤā§āϰ⧠āϏāĻšāϏāĻŽā§āĻĒāϰā§āĻ āĻŦāĻŋāĻļā§āϞā§āώāĻŖā§āϰ āĻĒā§āϰāϝāĻŧā§āĻ āĻ āĻā§āϰā§āϤā§āĻŦ āĻŦā§āϝāĻžāĻā§āϝāĻž āĻāϰā§āĨ¤ (5+5)
āĻāĻžāĻŖāĻŋāϤāĻŋāĻ āϏāĻŽāϏā§āϝāĻž (Mathematical Problems)
5. āύāĻŋāĻŽā§āύāϞāĻŋāĻāĻŋāϤ āĻŦāύā§āĻāύāĻāĻŋāϰ āĻāĻĄāĻŧ āĻ āĻŽāϧā§āϝāĻŽāĻž āύāĻŋāϰā§āĻŖāϝāĻŧ āĻāϰā§:
Score
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
Frequency
1
1
6
7
10
8
7
6
6. āύāĻŋāĻŽā§āύāϞāĻŋāĻāĻŋāϤ āϰāĻžāĻļāĻŋāĻŽāĻžāϞāĻžāϰ āĻā§āώāĻŋāώā§āĻ āĻ (Mode) āύāĻŋāϰā§āĻŖāϝāĻŧ āĻāϰā§:
Score
10-19
20-29
30-39
40-49
50-59
60-69
70-79
Frequency
4
7
10
15
5
2
3
7. āύāĻŋāĻŽā§āύāϞāĻŋāĻāĻŋāϤ āϏā§āĻā§āϰāĻā§āϞāĻŋāϰ SD āύāĻŋāϰā§āĻŖāϝāĻŧ āĻāϰā§:
Score
20-29
30-34
40-49
50-59
60-69
Frequency
1
2
3
6
1
8. āύāĻŋāĻŽā§āύā§āϰ āϤāĻĨā§āϝāϏāĻžāϰāĻŋ āĻĨā§āĻā§ āϰâā§āϝāĻžāĻā§āĻ āĻĒāĻžāϰā§āĻĨāĻā§āϝ āĻĒāĻĻā§āϧāϤāĻŋāϤ⧠āϏāĻšāĻāϤāĻŋāϰ āϏāĻŽā§āĻĒāϰā§āĻ āύāĻŋāϰā§āĻŖāϝāĻŧ āĻāϰā§:
X
2
8
45
8
60
25
27
40
58
45
Y
8
27
45
27
20
29
19
16
26
41
9. āύāĻŋāĻā§ āĻĻā§āĻāϝāĻŧāĻž āϏā§āĻā§āϰāĻā§āϞāĻŋ āĻĒāϰāĻŋāϏāĻāĻā§āϝāĻž āĻŦāĻŋāĻāĻžāĻāύ āĻļā§āϰā§āĻŖā§ (āĻĻā§āϰā§āĻā§āϝ ā§Ģ āϧāϰā§) āϏāĻžāĻāĻŋāϝāĻŧā§ āĻāĻĄāĻŧ (Mean), āĻŽāϧā§āϝāĻŽāĻž (Median) āĻ āĻā§āώāĻŋāώā§āĻ āĻ (Mode) āύāĻŋāϰā§āĻŖāϝāĻŧ āĻāϰā§:
85
77
63
79
84
66
77
74
80
77
83
86
65
71
78
78
79
80
74
72
75
35
70
73
88
69
74
74
69
78
10. āĻŦāĻŋāĻĻā§āϝāĻžāϞāϝāĻŧā§āϰ āĻĻāĻļāĻāύ āĻļāĻŋāĻā§āώāĻžāϰā§āĻĨā§āϰ āĻāĻŖāĻŋāϤ āĻ āĻā§āϤāĻŦāĻŋāĻā§āĻāĻžāύ āĻŦāĻŋāώāϝāĻŧā§ āĻĒā§āϰāĻžāĻĒā§āϤ āύāĻŽā§āĻŦāϰ āĻĻā§āĻāϝāĻŧāĻž āĻāĻā§āĨ¤ Product Moment āĻĒāĻĻā§āϧāϤāĻŋāϰ āϏāĻžāĻšāĻžāϝā§āϝ⧠āϏāĻšāĻāϤāĻŋāϰ āϏāĻšāĻāĻžāĻā§āĻ āύāĻŋāϰā§āĻŖāϝāĻŧ āĻāϰā§:
āĻāĻžāϤā§āϰā§āϰ āĻā§āϰāĻŽāĻŋāĻ āϏāĻāĻā§āϝāĻž
1
2
3
4
5
6
7
8
9
10
āĻāĻŖāĻŋāϤ
50
54
73
49
37
43
84
74
61
55
āĻā§āϤāĻŦāĻŋāĻā§āĻāĻžāύ
52
87
81
77
51
75
91
91
72
89
11. āϏāĻšāĻāϤāĻŋ āĻāĻžāĻā§ āĻŦāϞā§? āĻĻāĻļāĻāύ āĻāĻžāϤā§āϰā§āϰ āĻŦāĻžāĻāϞāĻž āĻ āĻāĻāϰāĻžāĻā§ āĻŦāĻŋāώāϝāĻŧā§āϰ āύāĻŽā§āĻŦāϰā§āϰ āĻŽāϧā§āϝ⧠Rank Difference āĻĒāĻĻā§āϧāϤāĻŋāϰ āϏāĻžāĻšāĻžāϝā§āϝ⧠āϏāĻšāĻāϤāĻŋāϰ āϏāĻšāĻāĻžāĻā§āĻ āύāĻŋāϰā§āĻŖāϝāĻŧ āĻāϰā§āĨ¤ āĻāĻ āĻĒāĻĻā§āϧāϤāĻŋāϰ āĻĻā§āĻāĻŋ āϏā§āĻŦāĻŋāϧāĻž āϞā§āĻā§:
āĻļāĻŋāĻā§āώāĻžāϰā§āĻĨā§
A
B
C
D
E
F
G
H
I
J
āĻŦāĻžāĻāϞāĻž
76
86
77
71
92
55
65
82
75
56
āĻāĻāϰāĻžāĻā§
79
92
82
72
64
72
66
91
78
59
12. āĻāĻĻāϰā§āĻļ āĻŦāĻŋāĻā§āϝā§āϤāĻŋ āĻāĻžāĻā§ āĻŦāϞā§? āĻāĻĻāϰā§āĻļ āĻŦāĻŋāĻā§āϝā§āϤāĻŋ āĻ āĻāĻĄāĻŧā§āϰ āĻŽāϧā§āϝ⧠āĻĒāĻžāϰā§āĻĨāĻā§āϝ āϞā§āĻā§āĨ¤ āύāĻŋāĻā§āϰ āϰāĻžāĻļāĻŋāĻā§āϞāĻŋ āĻĨā§āĻā§ SD āύāĻŋāϰā§āĻŖāϝāĻŧ āĻāϰā§: 5, 4, 6, 8, 9
13. āύāĻŋāĻā§āϰ āĻļā§āϰā§āĻŖā§āĻŦāύā§āĻāύā§āϰ āĻŽā§āĻĄ (Mode) āύāĻŋāϰā§āĻŖāϝāĻŧ āĻāϰā§:
Score
12-14
15-17
18-20
21-23
24-26
27-29
30-32
33-35
36-38
f
2
3
6
4
7
12
6
2
1
14. āύāĻŋāĻŽā§āύāϞāĻŋāĻāĻŋāϤ āϏā§āĻā§āϰāĻā§āϞāĻŋāĻā§ ā§Ģ āĻāĻāĻ āĻļā§āϰā§āĻŖā§ āĻĒā§āϰāϏāĻžāϰāĻŦāĻŋāĻļāĻŋāώā§āĻ āĻāĻāĻāĻŋ āĻĒāϰāĻŋāϏāĻāĻā§āϝāĻž āĻŦāĻŋāĻāĻžāĻāύā§āϰ āϤāĻžāϞāĻŋāĻāĻžāĻŦāĻĻā§āϧ āĻāϰā§āĨ¤ āĻĒāϰāĻŋāϏāĻāĻā§āϝāĻž āĻŦāĻŋāĻāĻžāĻāύā§āϰ āĻĒā§āϰāĻĨāĻŽ āĻļā§āϰā§āĻŖā§āĻāĻŋ ā§Ēā§Ļ āϏā§āĻā§āϰ āĻĻāĻŋāϝāĻŧā§ āĻļā§āϰ⧠āĻāϰ⧠āĨ¤
85
66
57
87
66
72
62
64
71
74
47
78
76
45
70
91
77
67
80
78
73
48
68
42
81
72
71
69
73
84
97
56
58
61
56
58
65
93
73
83
75
81
76
87
53
72
62
74
88
79
15. āύāĻŋāĻā§āϰ āϏā§āĻā§āϰāĻā§āϞāĻŋāϰ SD āĻŦāϰā§āĻŖāύāĻž āĻāϰā§:
Score
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
f
5
7
10
15
12
8
2
1
16. āϏāĻžāϰāĻŋāĻĒāĻžāϰā§āĻĨāĻā§āϝ āĻĒāĻĻā§āϧāϤāĻŋāϤ⧠āύā§āĻā§āϰ āĻĻā§āĻāĻŋ āĻāϞāϰāĻžāĻļāĻŋāϰ āϏāĻšāĻāĻžāĻā§āĻ āύāĻŋāϰā§āĻŖāϝāĻŧ āĻāϰā§:
X
10
8
15
25
10
27
32
8
10
30
Y
35
15
10
15
20
25
30
12
8
25
18. āĻā§āύ⧠āĻŦāĻŋāĻĻā§āϝāĻžāϞāϝāĻŧā§ āĻāĻāĻžāĻĻāĻļ āĻļā§āϰā§āĻŖāĻŋāϰ āĻŦāĻžāϰā§āώāĻŋāĻ āĻĒāϰā§āĻā§āώāĻžāϝāĻŧ āĻļāĻŋāĻā§āώāĻž āĻŦāĻŋāĻā§āĻāĻžāύ āĻŦāĻŋāώāϝāĻŧā§ ā§Ģā§Ļ āĻāύ āĻāĻžāϤā§āϰā§āϰ āϏā§āĻā§āϰāĻā§āϞāĻŋāĻā§ ā§Ģ āĻāĻāĻ āĻļā§āϰā§āĻŖāĻŋ āĻŦā§āϝāĻŦāϧāĻžāύ⧠āĻŦāĻŋāύā§āϝāϏā§āϤ āĻāϰ⧠āĨ¤ āϏā§āĻā§āϰāĻā§āϞāĻŋ āύāĻŋāĻŽā§āύāϞāĻŋāĻāĻŋāϤ:
74
71
44
50
60
59
66
62
60
74
36
48
62
73
75
49
60
78
67
76
63
38
77
52
64
59
55
53
75
70
84
63
32
67
50
60
51
56
60
70
62
54
35
56
47
82
61
50
58
66
Â
Škamaleshforeducation.in(2023)
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